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                        <span class="title oneline"><span class="text">Hadoop</span>
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                        <!--####是否付费-->
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                                                <!--####是否付费-->
                        <span class="title oneline"><span class="text">Yarn</span>
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                        <!--####是否付费-->
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                        <!--####是否付费-->
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                        <span class="title oneline"><span class="text">操作系统</span>
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                        <span class="title oneline"><span class="text">CentOS</span>
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                                                <!--####是否付费-->
                        <span class="title oneline"><span class="text">Windows</span>
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                        <!--####是否付费-->
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                                                <!--####是否付费-->
                        <span class="title oneline"><span class="text">Ubuntu</span>
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                        <!--####是否付费-->
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                        <span class="title oneline"><span class="text">编程语言</span>
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                                                <!--####是否付费-->
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                                                <!--####是否付费-->
                        <span class="title oneline"><span class="text">Java</span>
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                                                <!--####是否付费-->
                        <span class="title oneline"><span class="text">C/C++</span>
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                        <!--####是否付费-->
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                                                <!--####是否付费-->
                        <span class="title oneline"><span class="text">Python</span>
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                                                <!--####是否付费-->
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                <h1 class="title-article">Hive ORC格式存储时压缩测试</h1>
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                                                                                                                                            <a class="follow-nickName" href="https://me.csdn.net/weixin_42072754" target="_blank" rel="noopener">大数据AIRDE</a>
                    <span class="time">2019-11-28 21:14:24</span>
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                                <div class="up-time"><span>最后发布:2019-11-28 21:14:24</span><span>首发:2019-11-28 21:14:24</span></div>
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                                            <h1><a id="_0"></a>存储和压缩结合</h1>
<p>官网：<a href="https://cwiki.apache.org/confluence/display/Hive/LanguageManual+ORC" rel="nofollow">https://cwiki.apache.org/confluence/display/Hive/LanguageManual+ORC</a></p>
<p>ORC存储方式的压缩：</p>

<table>
<thead>
<tr>
<th>Key</th>
<th>Default</th>
<th>Notes</th>
</tr>
</thead>
<tbody>
<tr>
<td>orc.compress</td>
<td>ZLIB</td>
<td>high level compression (one of NONE, ZLIB, SNAPPY)</td>
</tr>
<tr>
<td>orc.compress.size</td>
<td>262,144</td>
<td>number of bytes in each compression chunk</td>
</tr>
<tr>
<td>orc.stripe.size</td>
<td>67,108,864</td>
<td>number of bytes in each stripe</td>
</tr>
<tr>
<td>orc.row.index.stride</td>
<td>10,000</td>
<td>number of rows between index entries (must be &gt;= 1000)</td>
</tr>
<tr>
<td>orc.create.index</td>
<td>true</td>
<td>whether to create row indexes</td>
</tr>
<tr>
<td>orc.bloom.filter.columns</td>
<td>“”</td>
<td>comma separated list of column names for which bloom filter should be created</td>
</tr>
<tr>
<td>orc.bloom.filter.fpp</td>
<td>0.05</td>
<td>false positive probability for bloom filter (must &gt;0.0 and &lt;1.0)</td>
</tr>
</tbody>
</table><h2><a id="ORC_16"></a>创建一个非压缩的的ORC存储方式</h2>
<p>（1）建表语句</p>
<pre><code class="prism language-sql"><span class="token keyword">create</span> <span class="token keyword">table</span> log_orc_none<span class="token punctuation">(</span>
track_time string<span class="token punctuation">,</span>
url string<span class="token punctuation">,</span>
session_id string<span class="token punctuation">,</span>
referer string<span class="token punctuation">,</span>
ip string<span class="token punctuation">,</span>
end_user_id string<span class="token punctuation">,</span>
city_id string
<span class="token punctuation">)</span>
<span class="token keyword">ROW</span> FORMAT DELIMITED <span class="token keyword">FIELDS</span> <span class="token keyword">TERMINATED</span> <span class="token keyword">BY</span> <span class="token string">'\t'</span>
STORED <span class="token keyword">AS</span> orc tblproperties <span class="token punctuation">(</span><span class="token string">"orc.compress"</span><span class="token operator">=</span><span class="token string">"NONE"</span><span class="token punctuation">)</span><span class="token punctuation">;</span>
</code></pre>
<p>（其实也可以直接写 STORED AS orc，后面不写也行）</p>
<p>（2）插入数据</p>
<pre><code class="prism language-sql"><span class="token keyword">insert</span> <span class="token keyword">into</span> <span class="token keyword">table</span> log_orc_none <span class="token keyword">select</span> <span class="token operator">*</span> <span class="token keyword">from</span> log_text1 <span class="token punctuation">;</span>
</code></pre>
<p>（3）查看插入后数据</p>
<pre><code class="prism language-bash">dfs -du -h /user/hive/warehouse/myhive.db/log_orc_none<span class="token punctuation">;</span>
</code></pre>
<p>7.7 M  /user/hive/warehouse/log_orc_none/123456_0</p>
<h2><a id="SNAPPYORC_50"></a>创建一个SNAPPY压缩的ORC存储方式</h2>
<p>（1）建表语句</p>
<pre><code class="prism language-sql"><span class="token keyword">create</span> <span class="token keyword">table</span> log_orc_snappy<span class="token punctuation">(</span>
track_time string<span class="token punctuation">,</span>
url string<span class="token punctuation">,</span>
session_id string<span class="token punctuation">,</span>
referer string<span class="token punctuation">,</span>
ip string<span class="token punctuation">,</span>
end_user_id string<span class="token punctuation">,</span>
city_id string
<span class="token punctuation">)</span>
<span class="token keyword">ROW</span> FORMAT DELIMITED <span class="token keyword">FIELDS</span> <span class="token keyword">TERMINATED</span> <span class="token keyword">BY</span> <span class="token string">'\t'</span>
STORED <span class="token keyword">AS</span> orc tblproperties <span class="token punctuation">(</span><span class="token string">"orc.compress"</span><span class="token operator">=</span><span class="token string">"SNAPPY"</span><span class="token punctuation">)</span><span class="token punctuation">;</span>
</code></pre>
<p>（2）插入数据</p>
<pre><code class="prism language-sql"><span class="token keyword">insert</span> <span class="token keyword">into</span> <span class="token keyword">table</span> log_orc_snappy <span class="token keyword">select</span> <span class="token operator">*</span> <span class="token keyword">from</span> log_text1 <span class="token punctuation">;</span>
</code></pre>
<p>（3）查看插入后数据</p>
<pre><code class="prism language-sql">dfs <span class="token operator">-</span>du <span class="token operator">-</span>h <span class="token operator">/</span><span class="token keyword">user</span><span class="token operator">/</span>hive<span class="token operator">/</span>warehouse<span class="token operator">/</span>myhive<span class="token punctuation">.</span>db<span class="token operator">/</span>log_orc_snappy <span class="token punctuation">;</span>
</code></pre>
<p>3.8 M  /user/hive/warehouse/log_orc_snappy/123456_0</p>
<h2><a id="ORC_79"></a>默认创建的ORC存储方式，导入数据后的大小为</h2>
<p>2.8 M  /user/hive/warehouse/log_orc/123456_0</p>
<p>比Snappy压缩的还小。原因是orc存储文件默认采用ZLIB压缩。比snappy压缩的小。</p>
<h2><a id="_85"></a>存储方式和压缩总结：</h2>
<p>在实际的项目开发当中，hive表的数据存储格式一般选择：orc或parquet。压缩方式一般选择snappy。</p>

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                                      onerror="this.src='https://img-blog.csdnimg.cn/20190918140053667.png'">
                                                            <!--####是否付费-->
                              <span class="title oneline"><span class="text">Kylin</span>
                                                                </span>
                              <!--####是否付费-->
                                                        </a>
                      </li>
                                          <li class="indentation">
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                                                            <!--####是否付费-->
                              <span class="title oneline"><span class="text">Kettle</span>
                                                                </span>
                              <!--####是否付费-->
                                                                <span class="count float-right">2篇</span>
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                                          <li class="indentation">
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                                                            <!--####是否付费-->
                              <span class="title oneline"><span class="text">Delta Lake</span>
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                              <!--####是否付费-->
                                                                <span class="count float-right">4篇</span>
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                                          <li class="indentation">
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                                                            <!--####是否付费-->
                              <span class="title oneline"><span class="text">Spark</span>
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                              <!--####是否付费-->
                                                                <span class="count float-right">52篇</span>
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                                          <li class="indentation">
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                                                            <!--####是否付费-->
                              <span class="title oneline"><span class="text">Flume日志收集</span>
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                              <!--####是否付费-->
                                                                <span class="count float-right">7篇</span>
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                                          <li class="indentation">
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                                                            <!--####是否付费-->
                              <span class="title oneline"><span class="text">Phoenix</span>
                                                                </span>
                              <!--####是否付费-->
                                                                <span class="count float-right">5篇</span>
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                                                            <!--####是否付费-->
                              <span class="title oneline"><span class="text">Sqoop</span>
                                                                </span>
                              <!--####是否付费-->
                                                                <span class="count float-right">5篇</span>
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                                                            <!--####是否付费-->
                              <span class="title oneline"><span class="text">Zookeeper</span>
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                              <!--####是否付费-->
                                                                <span class="count float-right">7篇</span>
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                                          <li class="indentation">
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                                                            <!--####是否付费-->
                              <span class="title oneline"><span class="text">Kafka</span>
                                                                </span>
                              <!--####是否付费-->
                                                                <span class="count float-right">12篇</span>
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                                          <li class="indentation">
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                                                            <!--####是否付费-->
                              <span class="title oneline"><span class="text">Impala</span>
                                                                </span>
                              <!--####是否付费-->
                                                                <span class="count float-right">6篇</span>
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                                          <li class="indentation">
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                                                            <!--####是否付费-->
                              <span class="title oneline"><span class="text">Hue</span>
                                                                </span>
                              <!--####是否付费-->
                                                                <span class="count float-right">4篇</span>
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                                          <li class="indentation">
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                                                            <!--####是否付费-->
                              <span class="title oneline"><span class="text">Hadoop</span>
                                                                </span>
                              <!--####是否付费-->
                                                                <span class="count float-right">32篇</span>
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                                          <li class="indentation">
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                                      onerror="this.src='https://img-blog.csdnimg.cn/20190927151101105.png'">
                                                            <!--####是否付费-->
                              <span class="title oneline"><span class="text">Yarn</span>
                                                                </span>
                              <!--####是否付费-->
                                                                <span class="count float-right">8篇</span>
                                                        </a>
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                                          <li class="indentation">
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                                                            <!--####是否付费-->
                              <span class="title oneline"><span class="text">MapReduce</span>
                                                                </span>
                              <!--####是否付费-->
                                                                <span class="count float-right">30篇</span>
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                                                            <!--####是否付费-->
                              <span class="title oneline"><span class="text">Azkaban</span>
                                                                </span>
                              <!--####是否付费-->
                                                                <span class="count float-right">3篇</span>
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                                          <li class="indentation">
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                                      onerror="this.src='https://img-blog.csdnimg.cn/20190918140129601.png'">
                                                            <!--####是否付费-->
                              <span class="title oneline"><span class="text">JDBC</span>
                                                                </span>
                              <!--####是否付费-->
                                                                <span class="count float-right">3篇</span>
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                                          <li class="">
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                                                            <!--####是否付费-->
                              <span class="title oneline"><span class="text">操作系统</span>
                                                                </span>
                              <!--####是否付费-->
                                                        </a>
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                                          <li class="indentation">
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                                      onerror="this.src='https://img-blog.csdnimg.cn/20190918140158853.png'">
                                                            <!--####是否付费-->
                              <span class="title oneline"><span class="text">CentOS</span>
                                                                </span>
                              <!--####是否付费-->
                                                                <span class="count float-right">15篇</span>
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                                          <li class="indentation">
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                                                            <!--####是否付费-->
                              <span class="title oneline"><span class="text">Windows</span>
                                                                </span>
                              <!--####是否付费-->
                                                                <span class="count float-right">2篇</span>
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                                          <li class="indentation">
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                                                            <!--####是否付费-->
                              <span class="title oneline"><span class="text">Ubuntu</span>
                                                                </span>
                              <!--####是否付费-->
                                                                <span class="count float-right">1篇</span>
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                                          <li class="">
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                              <span class="title oneline"><span class="text">编程语言</span>
                                                                </span>
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                                          <li class="indentation">
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                                                            <!--####是否付费-->
                              <span class="title oneline"><span class="text">Scala</span>
                                                                </span>
                              <!--####是否付费-->
                                                                <span class="count float-right">35篇</span>
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                                                            <!--####是否付费-->
                              <span class="title oneline"><span class="text">Java</span>
                                                                </span>
                              <!--####是否付费-->
                                                                <span class="count float-right">4篇</span>
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                                          <li class="indentation">
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                                                            <!--####是否付费-->
                              <span class="title oneline"><span class="text">C/C++</span>
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                              <!--####是否付费-->
                                                                <span class="count float-right">1篇</span>
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